Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Cufflinks not IDing transcripts correctly

    Hi all,

    I'm using Cufflinks to calculate transcript abundances on my human RNA seq data but it seems to be having a problem matching transcripts in my data to their correct gene ID's from a reference GTF. I generated a RefSeq hg18.gtf annotation file from the UCSC table browser and loaded that for into cufflinks for all of my samples. About 60% of the loci it processes are labelled with their RefSeq ID, but many of them simply have a generic "CUFF.1" ID attached to them, even though the associated genomic loci are present in my annotation.

    For example, This is what I see in my genes.fpkm_tracking file for one locus

    CUFF.2 - - CUFF.2 - - chr1:4224-19255 - - OK 47.7646 38.9667 56.5625

    But in my annotation that locus is clearly listed as WASH7P

    chr1 hg18_refFlat exon 4225 4692 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 4833 4901 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 5659 5810 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 6470 6628 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 6721 6918 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 7096 7231 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 7469 7605 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 7778 7924 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 8131 8229 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 14601 14754 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";
    chr1 hg18_refFlat exon 19184 19233 0.000000 - . gene_id "WASH7P"; transcript_id "WASH7P";

    Am I using the wrong format annotation file for this?

Latest Articles

Collapse

  • seqadmin
    Essential Discoveries and Tools in Epitranscriptomics
    by seqadmin


    The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...
    Yesterday, 07:01 AM
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
39 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
41 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 09:21 AM
0 responses
35 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-04-2024, 09:00 AM
0 responses
55 views
0 likes
Last Post seqadmin  
Working...
X